Analysis of Diabetes Apps to Assess Privacy-Related Permissions: Systematic Search of Apps.
José Javier Flors-SidroMowafa HousehAlaa Ali Abd-AlrazaqJosep Vidal-AlaballLuis Fernandez-LuqueCarlos Luis Sanchez-BocanegraPublished in: JMIR diabetes (2021)
The aforementioned findings confirm the necessity of educating patients and health care providers and raising their awareness regarding the privacy aspects of diabetes apps. Therefore, this research recommends properly and comprehensively training users, ensuring that governments and regulatory bodies enforce strict data protection laws, devising much tougher security policies and protocols in Android and in the Google Play Store, and implicating and supervising all stakeholders in the apps' development process.
Keyphrases
- type diabetes
- big data
- healthcare
- end stage renal disease
- cardiovascular disease
- newly diagnosed
- health information
- ejection fraction
- chronic kidney disease
- glycemic control
- peritoneal dialysis
- prognostic factors
- electronic health record
- metabolic syndrome
- machine learning
- patient reported
- weight loss
- affordable care act